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Related Experiment Videos

A virtual medical record for guideline-based decision support.

P D Johnson1, S W Tu, M A Musen

  • 1Sowerby Centre for Health Informatics at Newcastle, University of Newcastle, UK.

Proceedings. AMIA Symposium
|February 5, 2002
PubMed
Summary

This study introduces a novel approach to integrate computer-based clinical guidelines into electronic medical records by using a virtual electronic medical record and concept ontologies. This method standardizes data, overcoming variability for better clinical decision support.

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Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Electronic Health Records

Background:

  • Variability in electronic medical record (EMR) data models presents a significant barrier to deploying computer-based clinical guidelines at the point of care.
  • Adapting guideline languages, knowledge bases, and execution engines to unique data models in different healthcare environments is resource-intensive and complex.

Purpose of the Study:

  • To develop and report an adaptable approach for encoding and deploying clinical guideline models across diverse electronic medical record systems.
  • To facilitate the seamless integration of guideline-based decision support into clinical workflows, irrespective of the underlying EMR architecture.

Main Methods:

  • Guideline models were encoded using a uniform virtual electronic medical record (vEMR) and guideline-specific concept ontologies.

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  • Mapping knowledge bases were created to link terms between the concept ontology and the specific terminology of deployment systems.
  • Mediation components were developed to map local EMR data to the vEMR structure using these mapping knowledge bases.

    • Main Results:

    • The proposed approach successfully standardizes guideline implementation by abstracting EMR variability through a vEMR and concept ontologies.
    • Mapping knowledge bases and mediation components effectively bridge the gap between local EMR terminologies and the standardized vEMR.
    • The approach demonstrates compatibility with HL7 Reference Information Model (RIM) and European pre-standard ENV13606 for electronic healthcare record communication.

    Conclusions:

    • This method offers a robust solution for deploying clinical guidelines across heterogeneous EMR environments, enhancing interoperability.
    • The use of a vEMR, concept ontologies, and mapping knowledge bases significantly reduces the effort required for guideline system implementation.
    • The approach aligns with emerging standards, paving the way for more integrated and effective clinical decision support systems.